将Python Pandas DataFrame写入Word文档

码：

SEMorgkeys = client.domain_organic(url, database = "us", display_limit = 10, export_columns=["Ph,Pp,Pd,Nq,Cp,Ur,Tr"])
org_df = pd.DataFrame(SEMorgkeys)

f = open(name, 'w')
f.write("\nOrganic:\n")
f.write(org_df.to_string(index=False,justify="left"))
f.close()

当前打印输出(作为字符串)：

CPC    Keyword                        Position Difference Previous Position Search Volume Traffic (%) Url                                               
75.92       small business factoring   0                   1                 210          11.69       https://www..com/small-business-f...
80.19              factoring company   0                   8                1600           5.72       https://www..com/factoring-vs-ban...

如果您使用Conda或使用Anaconda安装Python,则可以从命令行运行命令：

conda install python-docx --channel conda-forge

或者从命令行pip install：

pip install python-docx

安装完成后,我们可以使用它打开文件,添加表格,然后用数据框数据填充表格的单元格文本.

import docx
import pandas as pd

# i am not sure how you are getting your data, but you said it is a
# pandas data frame
df = pd.DataFrame(data)

# open an existing document
doc = docx.Document('./test.docx')

# add a table to the end and create a reference variable
# extra row is so we can add the header row
t = doc.add_table(df.shape[0]+1, df.shape[1])

# add the header rows.
for j in range(df.shape[-1]):
    t.cell(0,j).text = df.columns[j]

# add the rest of the data frame
for i in range(df.shape[0]):
    for j in range(df.shape[-1]):
        t.cell(i+1,j).text = str(df.values[i,j])

# save the doc
doc.save('./test.docx')